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Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control
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Original Article

Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control

In Sun Jang1, Seungmi Park2
Korean Journal of Adult Nursing 2015;27(6):634-643.
Published online: December 31, 2015

1Department of Nursing, Korea Bible University, Seoul, Korea.

2Department of Nursing & Research Institute for Basic Sciences, Hoseo University, Asan, Korea.

Corresponding author: Park, Seungmi. Department of Nursing, Hoseo University, 79-20 Hoseo-ro, Baebang-eup, Asan 336-795, Korea. Tel: +82-41-540-9533, Fax: +82-41-540-9558, seungmipark@hoseo.edu
• Received: August 6, 2015   • Revised: December 10, 2015   • Accepted: December 11, 2015

© 2015 Korean Society of Adult Nursing

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    The purpose of the study was to investigate the factors affecting on smartphone addiction according to the classification of addiction-risk groups among college students, focusing on self-control.
  • Methods
    A sample of 242 college students at K University in Seoul was recruited to participate in the study. A structured questionnaire composed of items for the self-rated smartphone addiction scale and self-control scale was used to collect data.
  • Results
    The number of students in smartphone addiction-risk group was 66 (27.3%). This study had 17.5% of the explanatory power, including perceived smartphone necessity (β=.330, p=.007), and instant self-control (β=−.281, p=.028) in addiction-risk group. Whereas, in non-risk group, the affecting factors included gender (β=.194, p=.004), self-awareness of addiction (β=−.290, p<.001), and instant self-control (β=−.281, p<.001) with 31.3% of the explanatory power.
  • Conclusion
    There is a need to develop an intervention program to prevent the addiction of smartphones and to improve self-control among college students.
  • Key Words: Smartphone; Student; Addictive behavior; Self-control
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Table 1

The General & Smartphone Use-related Characteristics of the Participants (N=242)

kjan-27-634-i001.jpg

SNS=social networking service.

Table 2

Differences in General & Smartphone Use-related Characteristics between the Groups (N=242)

kjan-27-634-i002.jpg

SNS=social networking service.

Table 3

Differences in Self-control by the Groups (N=242)

kjan-27-634-i003.jpg
Table 4

Correlations of Smartphone Addiction and Self-control (N=242)

kjan-27-634-i004.jpg
Table 5

Factors Affecting the Smartphone Addiction (N=242)

kjan-27-634-i005.jpg

Figure & Data

References

    Citations

    Citations to this article as recorded by  
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      Bo Kyoung Jin, Hye Young Ahn
      Child Health Nursing Research.2020; 26(4): 411.     CrossRef
    • Effects on mobile phone functional use of ego resilience, peer attachment and mobile phone-related characteristics in male and female middle school students - focused on uses of SNS & messenger, music and internet in era of convergence-
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    Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control
    Korean J Adult Nurs. 2015;27(6):634-643.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.634
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    Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control
    Korean J Adult Nurs. 2015;27(6):634-643.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.634
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    Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control

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    Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control

    The General & Smartphone Use-related Characteristics of the Participants (N=242)

    SNS=social networking service.

    Differences in General & Smartphone Use-related Characteristics between the Groups (N=242)

    SNS=social networking service.

    Differences in Self-control by the Groups (N=242)

    Correlations of Smartphone Addiction and Self-control (N=242)

    Factors Affecting the Smartphone Addiction (N=242)

    Table 1 The General & Smartphone Use-related Characteristics of the Participants (N=242)

    SNS=social networking service.

    Table 2 Differences in General & Smartphone Use-related Characteristics between the Groups (N=242)

    SNS=social networking service.

    Table 3 Differences in Self-control by the Groups (N=242)

    Table 4 Correlations of Smartphone Addiction and Self-control (N=242)

    Table 5 Factors Affecting the Smartphone Addiction (N=242)

    Table 1

    Table 2

    Table 3

    Table 4

    Table 5

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